• Problem Statement: The executives of an automobile company are meeting to decide whether or not they should continue the assembly of one of their SUV models. Create a model to predict the demand of SUV among different age groups and pay scales.
• Skills Accomplished: R, Logistic Regression, Confusion Matrix, Feature Scaling, caTools for splitting data set.
• Tools Used: RStudio for R, Microsoft Excel.
• Built and trained Logistic Regression model to predict whether or not the customers will purchase the newly launched SUV based on features such as age and salary.
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Predictive modelling based on age and salaries to determine whether customers purchase the newly launched SUV or not.
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